Demo Data from VLDB 2026 / reviewers in the wild / expert
Yassen Assenov
dblp:75/2399
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-6992-2092ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% | |
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
epigenomics |
0.3 | 1 | 2018 | Enrichment analysis with EpiAnnotator · Bioinform. 2018 |
Bioinformatics and computational biology › functional genomics
functional enrichment analysis |
0.3 | 1 | 2018 | Enrichment analysis with EpiAnnotator · Bioinform. 2018 |
Bioinformatics and computational biology › network bioinformatics
biological network analysis |
0.1 | 1 | 2008 | Computing topological parameters of biological networks · Bioinform. 2008 |
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network topology analysis |
0.1 | 1 | 2008 | Computing topological parameters of biological networks · Bioinform. 2008 |
Graph algorithms and graph theory › graph theory
graph parameters |
0.0 | 1 | 2008 | Computing topological parameters of biological networks · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
statistical enrichment testing · 0.3graph theory · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Enrichment analysis with EpiAnnotatorabstractMotivation: Deciphering relevant biological insights from epigenomic data can be a challenging task. One commonly used approach is to perform enrichment analysis. However, finding, downloading and using the publicly available functional annotations require time, programming skills and IT infrastructure. Here we describe the online tool EpiAnnotator for performing enrichment analyses on epigenomic data in a fast and user-friendly way. Results: EpiAnnotator is an R Package accompanied by a web interface. It contains regularly updated annotations from 4 public databases: Blueprint, RoadMap, GENCODE and the UCSC Genome Browser. Annotations are hosted locally or in a server environment and automatically updated by scripts of our own design. Thousands of tracks are available, reflecting data on a variety of tissues, cell types and cell lines from the human and mouse genomes. Users need to upload sets of selected and background regions. Results are displayed in customizable and easily interpretable figures. Availability and implementation: The R package and Shiny app are open source and available under the GPL v3 license. EpiAnnotator's web interface is accessible at http://computational-epigenomics.com/en/epiannotator. Contact: [email protected]. Yoann Pageaud, Christoph Plass, Yassen Assenov |
Bioinform. | 3 |
| 2008 | Computing topological parameters of biological networksabstractUNLABELLED: Rapidly increasing amounts of molecular interaction data are being produced by various experimental techniques and computational prediction methods. In order to gain insight into the organization and structure of the resultant large complex networks formed by the interacting molecules, we have developed the versatile Cytoscape plugin NetworkAnalyzer. It computes and displays a comprehensive set of topological parameters, which includes the number of nodes, edges, and connected components, the network diameter, radius, density, centralization, heterogeneity, and clustering coefficient, the characteristic path length, and the distributions of node degrees, neighborhood connectivities, average clustering coefficients, and shortest path lengths. NetworkAnalyzer can be applied to both directed and undirected networks and also contains extra functionality to construct the intersection or union of two networks. It is an interactive and highly customizable application that requires no expert knowledge in graph theory from the user. AVAILABILITY: NetworkAnalyzer can be downloaded via the Cytoscape web site: http://www.cytoscape.org Yassen Assenov, Fidel Ramírez, Sven-Eric Schelhorn, Thomas Lengauer, Mario Albrecht |
Bioinform. | 1 |